Category: Best Practices

Amazon DocumentDB is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0, and 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, Amazon DocumentDB […]

With the announcement that Amazon Relational Database Service (Amazon RDS) for Oracle now supports integration with Amazon Elastic File System (Amazon EFS), you can keep temporary files like Oracle Data Pump export, import files on Amazon EFS file system, and directly access from it. Furthermore, you can leverage Amazon EFS integration for sharing a file system between […]

This is the second post of the two-part series on how application developers can take advantage of Amazon Aurora features, capabilities, and complementary services. In Part 1, we shared the first five tips: Split the application SQL read/write load to enhance your app’s performance. For Java apps, use AWS JDBC drivers for faster app recovery […]

Amazon Aurora is a MySQL- and PostgreSQL-compatible enterprise class database built from the ground up for cloud-native applications. Application developers write their code using standard tooling and libraries such as JDBC drivers for Java applications, and NodeJS packages for JavaScript applications. Developers often treat Aurora like a typical RDBMS database engine and fail to utilize […]

AWS Database Migration Service (AWS DMS) is used for migrating databases to AWS, but you can also use it for replicating data with low latency from any supported source to any supported target. When working with Oracle database, AWS DMS stops replicating data changes due to reset logs when the standby database is transitioned to […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale MySQL and MariaDB deployments in the cloud. Developers are often required to run complex queries in MySQL and MariaDB environments to create a dashboard or run simple ad hoc reports. Furthermore, application developers use complex stored procedures with user-created temporary […]

Avalanche is an EVM-compatible, layer-1 blockchain network. The protocol is built upon a novel consensus mechanism, paired with subnets with their own virtual machines. Subnets enable the creation of custom, app-specific blockchains for different use cases and allow the Avalanche network to scale infinitely. At its core, a blockchain is a set of replicated state […]

This post is co-written with Sanjna Srivatsa, Data Scientist at VMware. Amazon DynamoDB provides discounts ranging from 50 percent to 77 percent to customers who commit to paying for a minimum usage level, called reserved capacity. In this post, you learn how to use historical DynamoDB usage data to make your first DynamoDB reserved capacity […]

Some migrations might take a long time because they have large tables. However, AWS Database Migration Service (AWS DMS) features such as parallel load and filters might be able to help speed up this process. AWS DMS is a data migration service that has robust features for supporting both homogenous and heterogeneous database migrations. AWS […]

An Online Transaction Processing (OLTP) database is a key building block of a highly available application. Business-critical workloads can leverage Amazon Aurora database clusters in Multi-AZ configuration to help improve their overall uptime, and reduce the impact of availability-related events such as Multi-AZ failovers. In this post, we discuss aspects of Amazon Aurora related to […]